My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
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Updated
Dec 6, 2021 - Python
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
Batch Renormalization algorithm implementation in Keras
Neural Tensor Network Implementation as a keras layer
Keras implementation of ontology aware token embeddings
Keras model convolutional filter pruning package
Utilities for Keras - Deep Learning library
Restricted Boltzmann Machines as Keras Layer
CRF(Conditional Random Field) Layer for TensorFlow 1.X with many powerful functions
A collection of layers, ops, utilities and more for TensorFlow 2.0 high-level API Keras
A detailed Research project on Character-Segmentation using Neural Networks!
A Keras layer that acts as multiplexer for Dense layers (Tensorflow backend only)
Utility for extracting layer weights and biases from Keras models
Keras and tensorflow transfer learning, starting from the pre-trained inception_resnetV2 model
language model for basic jack and jill poem using RNN
Keras, Tensorflow eager execution layers for exponential smoothing
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